{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T08:52:29Z","timestamp":1772787149558,"version":"3.50.1"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Koenig Endowed Chair position at ECE Department of Michigan State University"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Evol. Computat."],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1109\/tevc.2023.3319494","type":"journal-article","created":{"date-parts":[[2023,9,28]],"date-time":"2023-09-28T17:46:58Z","timestamp":1695923218000},"page":"1351-1365","source":"Crossref","is-referenced-by-count":13,"title":["Machine Learning-Based Prediction of New Pareto-Optimal Solutions From Pseudo-Weights"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8336-8887","authenticated-orcid":false,"given":"Anirudh","family":"Suresh","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, Michigan State University, East Lansing, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7402-9939","authenticated-orcid":false,"given":"Kalyanmoy","family":"Deb","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Multi-Objective Optimization Using Evolutionary Algorithms","author":"Deb","year":"2001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281535"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2009.2021467"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1162\/106365600568202"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/1-84628-137-7_6"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-31880-4_20"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-017-0039-7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1162\/evco_a_00259"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2014.2373386"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2018.2866854"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1143997.1144112"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2018.8628819"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2007.892759"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-27250-9_14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/mca26010005"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2015.2395073"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SMC52423.2021.9658650"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-15934-8_9"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-022-00759-w"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1162\/EVCO_a_00128"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3474059"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2021.3131952"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1080\/0305215X.2013.812727"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2009.11.016"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2985081"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/1143997.1144112"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3389835"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3377930.3390166"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1080\/0305215X.2010.528410"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1143997.1144266"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2017.7969568"},{"key":"ref33","volume-title":"Nonlinear Programming: Theory and Algorithms","author":"Bazaraa","year":"2004"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-0348-8280-4"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2003.1299907"},{"key":"ref36","first-page":"8024","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"Paszke","year":"2019"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330701"},{"key":"ref38","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. 3rd Int. Conf. Learn. Represent.","author":"Kingma"},{"key":"ref39","first-page":"1","article-title":"Gaussian processes for regression","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"8","author":"Williams"},{"key":"ref40","first-page":"19274","article-title":"Bayesian optimization with high-dimensional outputs","volume-title":"Advances in Neural Information Processing Systems","volume":"34","author":"Maddox","year":"2021"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5555\/2981562.2981582"},{"key":"ref42","first-page":"1","article-title":"BoTorch: A framework for efficient monte-carlo Bayesian optimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Balandat"},{"key":"ref43","first-page":"1","article-title":"GPyTorch: Blackbox matrix-matrix Gaussian process inference with GPU acceleration","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Gardner"},{"key":"ref44","first-page":"27","article-title":"MOBES: A multiobjective evolution strategy for constrained optimization problems","volume-title":"Proc. 3rd Int. Conf. Genet. Algorithms (Mendel)","volume":"25","author":"Binh"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/BF01743536"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.861417"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1504\/IJVD.2001.005210"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s00158-007-0163-x"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/S0045-7825(99)00389-8"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281534"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/1143997.1144179"},{"issue":"2","key":"ref52","first-page":"115","article-title":"Simulated binary crossover for continuous search space","volume":"9","author":"Deb","year":"1995","journal-title":"Complex Syst."}],"container-title":["IEEE Transactions on Evolutionary Computation"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4235\/10703195\/10266759.pdf?arnumber=10266759","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T06:09:06Z","timestamp":1727935746000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10266759\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":52,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tevc.2023.3319494","relation":{},"ISSN":["1089-778X","1089-778X","1941-0026"],"issn-type":[{"value":"1089-778X","type":"print"},{"value":"1089-778X","type":"print"},{"value":"1941-0026","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10]]}}}